1. DBpedia 2014
Liang Zheng
9.22

2. DBpedia
A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia
Nucleus for the Web of Data

3. DBpedia [version 2014, 09/2014] [03/2007 v1.0 ---- 09/2013 v3.9]
Large-scale, Multilingual
4.58 million things, including 1,445,000 persons, 735,000 place, 411,000 creative works, 241,000 organizations …
685 classes (1,079 object properties , 1,600 datatype properties …)
125 languages
3 billion RDF triples ( 580 million English, 2.46 billion other language editions.

4. DBpedia Framework

5. Extracting from Wikipedia Page
Label
Abstract
Interlanguage Links
Images
Redirects
Disambiguates
External Links
Pagelinks
Homepages
Categories
Geo-coordinates

6. dbr  http://dbpedia.org/resource/ dbp  http://dbpedia.org/property/

7. DBpedia Extractors

8. DBpedia Extractors Raw Infobox Extraction
Mapping-Based Infobox Extraction
Alignment; via community-provided mappings
NLP Extraction

9. DBpedia Ontology Maximal depth of 5

10. Accessing the DBpedia SPARQL Endpoint Semantic Web browsers
Leipzig query builder  
OpenLink (iSPARQL)
SNORQL query explorer  
Faceted Web Service Interface  
Semantic Web browsers
Tabulator, Sindice, DISCO
SView

11. Other Knowledge Bases Freebase http://www.freebase.com/
Same: also extracts structured data from Wikipedia and makes it available in RDF.
Differences: ① Freebase uses several sources to provide broad coverage; ② The store is GraphD graph database, can be directly edited by users.

12. Other Knowledge Bases YAGO http://www.mpi-inf.mpg.de/yago-naga/yago/
Same: similar goals to DBpedia
Differences: ① extracting a smaller number of relations compared to DBpedia to achieve very high precision and consistent knowledge. ② DBpedia ontology is manually maintained, YAGO is backed by WordNet and Wikipedia leaf categories. Due to this, YAGO contains many more classes than DBpedia.

13. Thanks!